Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power.

Autor: Nakagawa S; Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.; Theoretical Sciences Visiting Program, Okinawa Institute of Science and Technology Graduate University, Onna, Japan., Lagisz M; Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.; Theoretical Sciences Visiting Program, Okinawa Institute of Science and Technology Graduate University, Onna, Japan., Yang Y; Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia., Drobniak SM; Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia.; Institute of Environmental Sciences, Jagiellonian University, Kraków, Poland.
Jazyk: angličtina
Zdroj: PLoS biology [PLoS Biol] 2024 Jan 08; Vol. 22 (1), pp. e3002423. Date of Electronic Publication: 2024 Jan 08 (Print Publication: 2024).
DOI: 10.1371/journal.pbio.3002423
Abstrakt: Power analysis currently dominates sample size determination for experiments, particularly in grant and ethics applications. Yet, this focus could paradoxically result in suboptimal study design because publication biases towards studies with the largest effects can lead to the overestimation of effect sizes. In this Essay, we propose a paradigm shift towards better study designs that focus less on statistical power. We also advocate for (pre)registration and obligatory reporting of all results (regardless of statistical significance), better facilitation of team science and multi-institutional collaboration that incorporates heterogenization, and the use of prospective and living meta-analyses to generate generalizable results. Such changes could make science more effective and, potentially, more equitable, helping to cultivate better collaborations.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Nakagawa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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